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Using SCOPE to Identify Potential Regulatory Motifs in Coregulated Genes
Published on: May 31, 2011
Functional discovery via a compendium of expression profiles
T R Hughes1, M J Marton, A R Jones
1Rosetta Inpharmatics, Inc., Kirkland, Washington 98034, USA.
Cell
|August 10, 2000
Summary
This study introduces a novel assay to simultaneously monitor hundreds of cellular functions. This method aids in understanding gene function and drug effects by analyzing gene expression profiles.
Area of Science:
- Systems biology
- Molecular biology
- Genomics
Background:
- Understanding cellular responses to perturbations is crucial in biology.
- Existing methods often lack the capacity to monitor numerous cellular functions concurrently.
Purpose of the Study:
- To develop a single assay for monitoring hundreds of cellular functions simultaneously.
- To create a reference compendium of expression profiles for diverse perturbations.
- To enable the characterization of uncharacterized genes and pharmacological agents.
Main Methods:
- Construction of a reference compendium of gene expression profiles for 300 mutations and chemical treatments in *Saccharomyces cerevisiae* (yeast).
- Utilizing pattern matching analysis of expression profiles to identify affected cellular pathways.
- Experimental validation of identified gene functions.
Main Results:
- Successfully identified cellular pathways affected by perturbations, even subtle ones, through pattern matching.
- Characterized eight uncharacterized genes, assigning them roles in sterol metabolism, cell wall function, mitochondrial respiration, or protein synthesis.
- Identified a novel target for the drug dyclonine, demonstrating the compendium's utility in pharmacological studies.
Conclusions:
- A single assay combined with a compendium of expression profiles provides a powerful tool for dissecting cellular functions.
- This approach effectively characterizes uncharacterized genes and aids in understanding drug mechanisms of action.
- The developed method offers a scalable solution for systems-level analysis of cellular perturbations.
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